scispace - formally typeset
Search or ask a question
Institution

Coventry University

EducationCoventry, United Kingdom
About: Coventry University is a education organization based out in Coventry, United Kingdom. It is known for research contribution in the topics: Context (language use) & Population. The organization has 4964 authors who have published 12700 publications receiving 255898 citations. The organization is also known as: Lanchester Polytechnic & Coventry Polytechnic.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the influence of process parameters on the quality characteristics of the prototypes using Taguchi technique has been assessed and the results of the study and the conclusions arrived from it.

655 citations

Journal ArticleDOI
TL;DR: This article reviewed and critically appraised a range of definitions of empathy and, through considered analysis, developed a new conceptualisation of empathy, which is more consistent and complete than the inconsistent definition of empathy.
Abstract: The inconsistent definition of empathy has had a negative impact on both research and practice. The aim of this article is to review and critically appraise a range of definitions of empathy and, through considered analysis, to develop a new conceptualisation. From the examination of 43 discrete definitions, 8 themes relating to the nature of empathy emerged: “distinguishing empathy from other concepts”; “cognitive or affective?”; “congruent or incongruent?”; “subject to other stimuli?”; “self/other distinction or merging?”; “trait or state influences?”; “has a behavioural outcome?”; and “automatic or controlled?” The relevance and validity of each theme is assessed and a new conceptualisation of empathy is offered. The benefits of employing a more consistent and complete definition of empathy are discussed.

653 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the theory, measurement and interpretation of frequency-dependent susceptibility (Xfd) and proposed a new model which explains Xfd in terms of the behaviour of all superparamagnetic grains (SP) with diameters between 0 and ~0.03 um.
Abstract: The theory, measurement and interpretation of frequency-dependent susceptibility (Xfd) are examined. A new model is proposed which explains Xfd in terms of the behaviour of all superparamagnetic grains (SP) with diameters between 0 and ~0.03 um. The model predicts maximum Xfd percentage values of 14-17 per cent for spherical SP ferrimagnetic grains in the grain size range 0.01-0.025 um, and a maximum value of 10-12 per cent for grain assemblages spanning a wider range of grain sizes (0-0.03 um). Synthetic and experimental data support the model predictions in terms of both maximum Xfd percentage values and the relationship between Xfd percentage and mass specific Xfd, which exhibits an envelope of data points partly related to grain size distributions within the SP range. When the Xfd percentage is at a maximum, the mass specific Xfd term can be used to estimate the concentration of SP grains in a sample. Lower values of Xfd percentage in soils are caused by the presence of narrow distributions of ultrafine SP grains, frequency-independent stable single and multi-domain ferrimagnetic grains. Some soils with low susceptibilities may have low Xfd percentages because of an appreciable content of paramagnetic and canted antiferromagnetic minerals. A simple mixing model predicts proportions of SP grains in mixed grain assemblages, but model validation requiring further characterization of grain interaction and grain size distributions is needed before it can be applied to environmental data.

643 citations

Journal ArticleDOI
14 Jul 2016-Nature
TL;DR: A Climate Sensitivity Profile approach is applied to 10,003 terrestrial and aquatic phenological data sets, spatially matched to temperature and precipitation data, to quantify variation in climate sensitivity and detected systematic variation in the direction and magnitude of phenological climate sensitivity.
Abstract: Differences in phenological responses to climate change among species can desynchronise ecological interactions and thereby threaten ecosystem function. To assess these threats, we must quantify the relative impact of climate change on species at different trophic levels. Here, we apply a Climate Sensitivity Profile approach to 10,003 terrestrial and aquatic phenological data sets, spatially matched to temperature and precipitation data, to quantify variation in climate sensitivity. The direction, magnitude and timing of climate sensitivity varied markedly among organisms within taxonomic and trophic groups. Despite this variability, we detected systematic variation in the direction and magnitude of phenological climate sensitivity. Secondary consumers showed consistently lower climate sensitivity than other groups. We used mid-century climate change projections to estimate that the timing of phenological events could change more for primary consumers than for species in other trophic levels (6.2 versus 2.5–2.9 days earlier on average), with substantial taxonomic variation (1.1–14.8 days earlier on average).

640 citations

Journal ArticleDOI
TL;DR: This paper argues that it may be more valuable to establish and promote " effective engagement," rather than simply more engagement, with "effective engagement" defined empirically as sufficient engagement with the intervention to achieve intended outcomes.

633 citations


Authors

Showing all 5097 results

NameH-indexPapersCitations
Xiang Zhang1541733117576
Zidong Wang12291450717
Stephen Joseph9548545357
Andrew Smith87102534127
John F. Allen7940123214
Craig E. Banks7756927520
Philip L. Smith7529124842
Tim H. Sparks6931519997
Nadine E. Foster6832018475
Michael G. Burton6651916736
Sarah E Lamb6539528825
Michael Gleeson6523417603
David Alexander6552016504
Timothy J. Mason6522515810
David S.G. Thomas6322814796
Network Information
Related Institutions (5)
University of Sheffield
102.9K papers, 3.9M citations

93% related

University of Exeter
50.6K papers, 1.7M citations

92% related

RMIT University
82.9K papers, 1.7M citations

92% related

University of York
56.9K papers, 2.4M citations

92% related

Lancaster University
44.5K papers, 1.6M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202360
2022217
20211,419
20201,267
20191,097
20181,013